Modernize YourLegacy Systems
Transform outdated systems into modern, AI-powered solutions with our comprehensive migration tools and expert guidance.
Migration Processes
Proven processes and methodologies for efficient legacy system modernization.
Required Skills:
- Code Analysis
- Architecture Review
- Technical Documentation
Required Skills:
- Strategic Planning
- Risk Assessment
- Project Management
Required Skills:
- GenAI Tools
- Code Transformation
- Quality Assurance
Required Skills:
- GenAI Tools
- Code Transformation
- Quality Assurance
Required Skills:
- Testing
- Quality Assurance
- Performance Analysis
Required Skills:
- DevOps
- CI/CD
- Infrastructure
- Monitoring
Example GenAI Modernization Use Cases
Real-world examples of how Generative AI is transforming legacy system modernization
AI Role:
- IBM watsonx
- GPT-4 with RAG
- Human-in-the-loop validation
AI Role:
- Microsoft Upgrade Assistant
- GitHub Copilot
AI Role:
- Generate OpenAPI specs
- GPT-4/Copilot code generation
AI Role:
- Analyze service boundaries
- Suggest DDD models
AI Role:
- Generate front-end from legacy screens
- Code analysis
AI Role:
- Diffblue
- Copilot
- CodiumAI test scaffolding
Migration Tools
Comprehensive AI-powered tools and platforms for efficient legacy system modernization.
AI-Powered Code Understanding & Refactoring
These tools help analyze and understand legacy code, suggest improvements, and refactor automatically.
- AI code suggestions
- Refactoring assistance
- Test generation
- AI-assisted code refactoring
- Modernization on AWS
- Context-aware AI autocomplete
- Legacy code enhancement
- AI-assisted code exploration
- Refactoring within JetBrains IDEs
Code Conversion & Translation
Translate legacy codebases (e.g., COBOL, VB, .NET Framework) into modern languages like Java, C#, Python, or cloud-native equivalents.
- Converts COBOL to Java
- Helps modernize mainframe apps
- .NET Framework to .NET Core/6+
- AI support for migration
- Converts between Java, Go, and Python
- Open-sourced research project
- Large-scale refactoring framework
- AI-assisted rules
Intelligent Documentation & Code Comprehension
Gen AI tools that generate readable documentation or summarize large legacy codebases to make modernization easier.
- Auto-generates function-level docs
- Summaries and tests
- AI code exploration
- Context-aware understanding
- Inline doc generation
- Deep code understanding
- Across entire repositories
- Chrome extension
- Explain code in plain English
- Great for legacy code
Automated Testing & Validation
Generative AI can write unit/integration tests for legacy functions, helping safely refactor or modernize without regressions.
- Automatically writes Java unit tests
- For legacy codebases
- Test case generation
- Test explanation
- Intelligent test generation
- For web and UI layers
- Test suggestion
- Code debugging
End-to-End Platforms with GenAI Capabilities
Full application modernization platforms integrating Generative AI to accelerate transformation.
- Refactor legacy .NET apps
- Generate tests
- Suggest cloud-native services
- Rearchitect legacy monoliths
- For AWS microservices
- Analyze monoliths
- Suggest service boundaries
- Generate new APIs
- No-code rebuild of legacy workflows
- With GenAI help
LLMs for Custom Legacy Modernization Pipelines
If you're building your own modernization platform or doing internal projects.
- Custom agents for COBOL → Java migration
- Code doc generation
- Long-context understanding
- Large codebases (200K+ tokens)
- RAG systems for navigating legacy repos
- Modernizing incrementally
- Plug-and-play AI coding copilots
- Optimized for enterprise legacy systems
Our Technology Stack
We leverage cutting-edge technologies to build robust, scalable, and intelligent applications.
Ready to Modernize Your Legacy System?
Let's transform your legacy applications into modern, scalable, and efficient systems that drive your business forward.